Python Developer

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• Modernize and optimize financial accounting and forecasting applications for scalability, performance, and maintainability.
• Enhance forecasting engine capabilities to improve accuracy, efficiency, and enterprise readiness.
• Support quarterly financial reporting production runs by monitoring execution, resolving issues, and ensuring accurate, timely outputs.
• Troubleshoot defects, reduce technical debt, and implement engineering best practices.
• Develop high-quality, testable code with strong unit and integration test coverage.
• Collaborate across data, API, service, and infrastructure teams to deliver end-to-end solutions.
• Partner with FP&A and stakeholders to deliver forecasting enhancements, scenario analysis, and regulatory requirements.
• Support infrastructure upgrades, platform migrations, and adoption of new technologies.
• Participate in design reviews, documentation, and collaborative problem-solving.

• 5+ years of software development experience with Python, Java, or similar languages.
• 2–3 years of experience with Git, SQL, and relational databases.
• Experience with containerization/orchestration tools such as Docker or Kubernetes.
• Proficiency in shell scripting and automation.
• Experience with automated testing frameworks (Pytest, JUnit).
• Understanding of fixed income concepts such as duration, convexity, and OAS.
• Strong communication, analytical, and problem-solving skills.
• Familiarity with Agile development practices.

• Graduate degree in Computer Science, Mathematics, Statistics, or related field.
• Knowledge of GAAP accounting principles.
• CFA, FRM, CPA, or progress toward certification.
• Experience working with stakeholders and gathering business requirements.
• Familiarity with project management tools such as JIRA.